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A guide to a holistic approach to healthcare measurement aimed at improving access and outcomesHealthcare System Access is an important resource that bridges two areas of researchaccess modeling and healthcare system engineering. The books mathematical modeling approach highlights fundamental approaches on measurement of and inference on healthcare access. This mathematical modeling facilitates translating data into knowledge in order to make datadriven estimates and projections about parameters, patterns, and trends in the system. The complementary engineering approach uses estimates and projections about the system to better inform efforts to design systems that will yield better outcomes.The authora noted expert on the topicoffers an indepth exploration of the concepts of systematic disparities, reviews measures for systematic disparities, and presents a statistical framework for making inference on disparities with application to disparities in access. The book also includes information health outcomes in the context of prevention and chronic disease management. In addition, this text: Integrates data and knowledge from various fields to provide a framework for decision making in transforming access to healthcare Provides indepth material including illustrations of how to use stateofart methodology, large data sources, and research from various fields Includes endofchapter case studies for applying concepts to realworld conditionsWritten for health systems engineers, Healthcare System Access: Measurement, Inference, and Intervention puts the focus on approaches to measure healthcare access and addresses important enablers of such change in healthcare towards improving access and outcomes.
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